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Proceedings Paper

Morphological image processing and network analysis of cornea endothelial cell images
Author(s): Luc M. Vincent; Barry R. Masters
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Paper Abstract

In this paper, we propose a robust and accurate method for segmenting grayscale images of corneal endothelial tissue. Its first step consists of the extraction of markers of the corneal cells using a dome extractor based on morphological grayscale reconstruction. Then, marker- driven watershed segmentation yields binary images of the corneal cell network. From these images, we derive histograms of the cell sizes and number of neighbors, which provide quantitative information about the condition of the cornea. We also construct the neighborhood graph of the corneal cells, whose granulometric analysis yields information on the distribution of cells with large number of neighbors in the tissue. Lastly, these results help us propose a model for the corneal cell death phenomenon. The numerical simulation of this model exhibits a very good match with our experimental results. This model not only allows us to refine our understanding of the phenomenon: combined with our results, it enables the estimation of the percentage of cells having died in a given corneal endothelial tissue.

Paper Details

Date Published: 1 June 1992
PDF: 15 pages
Proc. SPIE 1769, Image Algebra and Morphological Image Processing III, (1 June 1992); doi: 10.1117/12.60644
Show Author Affiliations
Luc M. Vincent, Xerox Imaging Systems (United States)
Barry R. Masters, Uniformed Services Univ. of the Health Sciences (United States)

Published in SPIE Proceedings Vol. 1769:
Image Algebra and Morphological Image Processing III
Paul D. Gader; Edward R. Dougherty; Jean C. Serra, Editor(s)

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